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Computer Science Internships For College Students Jobs in San Ramon, CA

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

We are hiring Data Science interns across several teams and are looking for intellectually curious ... PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related ...

Meta

Computer Vision Engineer

Menlo Park, CA

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

Meta

Computer Vision Engineer

Burlingame, CA

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

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Computer Science Internships For College Students information

What types of projects do computer science interns typically work on during their internships?

Computer science interns for college students often work on a variety of projects ranging from developing new features for existing software, debugging and testing code, to collaborating on research initiatives or internal tools. The projects are usually designed to provide hands-on experience with real-world technologies and workflows under the guidance of experienced mentors. Interns may also participate in team meetings, code reviews, and present their progress, which helps them develop both technical and communication skills. The work environment is typically collaborative, encouraging questions and knowledge sharing to maximize learning.

What internships should I apply for in computer science?

Computer Science internships for college students typically include roles in software development, data analysis, cybersecurity, and machine learning. Applicants should focus on building skills in programming languages like Python, Java, or C++, and may benefit from certifications or coursework in relevant areas. These internships often require a strong academic record and the ability to work in team environments, with some offering remote or flexible schedules.

What is the difference between Computer Science Internships For College Students vs Software Developer Internships for College Students?

AspectComputer Science Internships For College StudentsSoftware Developer Internships for College Students
Required CredentialsEnrolled in a computer science or related degree programEnrolled in a computer science or software engineering program
Work EnvironmentTech companies, startups, research labsTech firms, software companies, startups
Industry UsageCommonly used for broad tech roles and researchFocused on software development projects and coding
Search & Comparison IntentUnderstanding internship opportunities in computer scienceFinding software development internship roles

Both internships target students in computer science-related fields, often requiring similar educational backgrounds. Computer Science Internships For College Students tend to cover a broader range of tech roles, including research and systems, while Software Developer Internships focus specifically on coding and software creation. The choice depends on your career interests within the tech industry.

What are computer science internships for college students?

Computer science internships for college students are temporary positions offered by companies, organizations, or research institutions to provide hands-on experience in the field of computer science. These internships typically involve working on real-world projects related to software development, data analysis, IT support, or research. They help students apply classroom knowledge, develop technical and professional skills, and build a network within the industry. Internships can be paid or unpaid and usually last for a few months during summer or as part-time roles during the academic year.

Which internship is best for a computer science intern for college students?

The best internship for a computer science intern typically offers hands-on experience in software development, data structures, and algorithms, often with opportunities to work on real projects using tools like Python, Java, or C++. Competitive programs from leading tech companies or research institutions provide valuable mentorship, skill development, and networking opportunities, making them highly desirable for college students pursuing a career in computer science.

What are the key skills and qualifications needed to thrive in computer science internships for college students, and why are they important?

To thrive in computer science internships as a college student, you need a fundamental understanding of programming languages (such as Python, Java, or C++), problem-solving abilities, and current enrollment in a relevant degree program. Familiarity with software development tools, version control systems like Git, and exposure to collaborative platforms or cloud services is highly beneficial. Strong communication, teamwork, and a willingness to learn help interns stand out and integrate quickly into professional environments. These skills and qualities are crucial for contributing effectively to projects, adapting to real-world workflows, and maximizing learning during the internship.
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What job categories do people searching Computer Science Internships For College Students jobs in San Ramon, CA look for? The top searched job categories for Computer Science Internships For College Students jobs in San Ramon, CA are:
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Computer Science Internships For College Students jobs near you
Infographic showing various Computer Science Internships For College Students job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Data Science Intern

Faire

San Francisco, CA • On-site

$75/hr

Other

Re-posted 23 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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